Copyright 2009 Improving MDO in AEC CIFE TAC 2009 Improving Multidisciplinary Optimizaton Methods in AEC 1 Principal Investigato rs John Haymaker, Assistant Professor of CEE Ilan Kroo, Professor of Aero / Astro Research Staff Forest Flager, Ph.D. candidate of CEE Ben Welle, Ph.D. candidate of CEE
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Copyright 2009 Improving MDO in AEC CIFE TAC 2009 Improving Multidisciplinary Optimizaton Methods in AEC 1 Principal Investigators John Haymaker, Assistant.
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Copyright 2009
Improving MDO in AEC
CIFE TAC 2009
Improving Multidisciplinary Optimizaton Methods in AEC
1
Principal Investigators
John Haymaker, Assistant Professor of CEEIlan Kroo, Professor of Aero / Astro
Research Staff
Forest Flager, Ph.D. candidate of CEEBen Welle, Ph.D. candidate of CEE
Copyright 2009
Improving MDO in AEC
CIFE TAC 2009
Overview
(1) Industry Drivers / Limitations
(2) Applying MDO Methods to AEC
(3) Research Plan / Team
(4) Value Proposition
2
Copyright 2009
Improving MDO in AEC
CIFE TAC 2009
INDUSTRY DRIVERS / LIMITATIONS
3
Copyright 2009
Improving MDO in AEC
CIFE TAC 2009
Industry Drivers
4
sustainability schedule globalization cost
25% reduction in life-cycle costs
significantly reduce time to
market
deliver majority of services from global markets
deliver within 2% of estimated cost
• balance capital cost with
operating costs / environmental
impact
• improve productivity
• support distributed
teams
• leverage construction knowledge
Copyright 2009
Improving MDO in AEC
CIFE TAC 2009
We Have the Technology
Virtual Design and Construction (VDC) tools:• used earlier in the design process • increasing number of disciplines supported
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Structure Energy Facade Lighting
CFD Acoustics Cost Schedule
Analysis toolsAnalysis tools
2Strategic Integration and Automation of Conceptual Design
DAYLIGHT (RADIANCE, ECOTECT)
ACOUSTIC (ECOTECT)
CFD (FLUENT, FLOVENT)
STRUCTURAL (ETABS, SAP2000)
SOLAR RADIATION (ECOTECT, IES)
SHADOW (ECOTECT)
Analysis toolsAnalysis tools
2Strategic Integration and Automation of Conceptual Design
DAYLIGHT (RADIANCE, ECOTECT)
ACOUSTIC (ECOTECT)
CFD (FLUENT, FLOVENT)
STRUCTURAL (ETABS, SAP2000)
SOLAR RADIATION (ECOTECT, IES)
SHADOW (ECOTECT)
Analysis toolsAnalysis tools
2Strategic Integration and Automation of Conceptual Design
DAYLIGHT (RADIANCE, ECOTECT)
ACOUSTIC (ECOTECT)
CFD (FLUENT, FLOVENT)
STRUCTURAL (ETABS, SAP2000)
SOLAR RADIATION (ECOTECT, IES)
SHADOW (ECOTECT)
Copyright 2009
Improving MDO in AEC
CIFE TAC 2009
How is Current Practice Doing?
Survey results [1]:
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Iteration Duration
Iterations per ProjectInitial Subsequent
7 wks 5 wks 2.8Manage In-formation
58%Plan6%
Execute36%
Where time is spentDesign iteration metrics
New design methods and computational frameworks are required to fully benefit from progress in IT
Copyright 2009
Improving MDO in AEC
CIFE TAC 2009
APPLYING MDO METHODS TO AEC
Boeing’s Rapid Conceptual Design (RCD) Process [1]
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Copyright 2009
Improving MDO in AEC
CIFE TAC 2009
Related Research
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Design Process Management MDO Optimization in AEC
• Design Structure Matrix (Steward, Smith, et al.)
• Trial and error• Evolutionary Algorithms (Kicinger, Parmee, et al.)
• Simulated Annealing (Shea)
System-level Optimizer
SubspaceOptimizer
Analysis
SubspaceOptimizer
Analysis
SubspaceOptimizer
Analysis
System-level Optimizer
Analysis Analysis Analysis
MEMBER SIZING
SE
SHAPE DESIGN
A + SE + ME
TOPOLOGY DESIGN
A + SE + ME + FE
N-S BaysE-W Bays
N-S BaysE-W Bays
Arch HeightFrame Depth
AestheticsSteel WeightMember Util
AestheticsSteel WeightMember Util
x
y
z
ANALYSIS LAYER
Element list: "bottomSurf_real"
Scale: 1:985.4
Area, A: 1250. cm²/pic.cm
700.0 cm²
600.0 cm²
500.0 cm²
400.0 cm²
300.0 cm²
200.0 cm²
100.0 cm²
80.00 cm²
60.00 cm²
40.00 cm²
20.00 cm²
0.0 cm²
Copyright 2009
Improving MDO in AEC
CIFE TAC 2009
Research Goals
Develop and apply MDO methods that meet theparticular needs of the AEC industry to:
• Compress design cycle time• Explore more alternatives• Achieve substantive product quality and
performance gains• Reduce time to market
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Copyright 2009
Improving MDO in AEC
CIFE TAC 2009
Research Goals
Develop and apply MDO methods that meet theparticular needs of the AEC industry to: • Understand coupling between analyses• Function with AEC organizations• Visualize tradeoffs• Improve interoperability